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Urgent! Sr. Python AI/ML Engineer in Dallas, Texas, USA | Veracity Software Inc | Expertini

Sr. Python AI/ML Engineer



Job description


Job Title: Sr. Python AI/ML Engineer



Job Location: Morris Plains, NJ, Austin or Dallas, TX, Tampa or Orlando, FL (Hybrid - Onsite 3 days/week)



# Positions: 2



Employment Type: C2H



Duration: Long term





Key Technology: Python, CloudWatch, Open Telemetry, RAG architecture, FASTAPI





Job Responsibilities:




  • Understand the Business End to End.

  • Understand the Application Architecture.

  • Responsible for Designing and building Applications.

  • Understand the project timelines and deadlines.

  • Provide Impact analysis for new requirements or changes.

  • Responsible for low level design with the team.

  • Convey architectural solutions to all levels of professionals and leaders.

  • Ensure Code Quality and Deliverables.

  • Lead the team and deliverables -Prioritize work with stakeholders.

  • Understand and follow the current Code Build and Deployment patterns across all environments.

  • Perform checkouts of the code deployments before the QA starts testing.

  • Support continuous improvement, investigating alternatives and technologies, and presenting for architectural review.

  • Develop and Mentor Junior Developers.

  • Plan and prepare to support PI planning Events.

  • Work breakdown by stories for development.


  • Accurate work Estimation and commitment to timelines and deadlines.

  • Identify dependencies and communication.





Skills and Experience Required:



Required




  • Expert-level Python development with a focus on production-grade microservices

  • Proficient in Python dependency management and packaging for scalable services

  • Strong experience in structured logging, exception handling

  • Experience with observability using tools like CloudWatch, Open Telemetry, Prometheus, or others

  • Deep familiarity with OpenAI APIs (chat/completions, function calling, embeddings)

  • Experience designing multi-agent architectures, where each agent handles distinct data sources or functional areas

  • Data Science & ML Skills

  • Ability to query, aggregate, understand, and potentially augment large datasets using platforms like Databricks, PySpark, or SQL

  • Practical experience in using machine learning and rule-based logic to identify trends or classify behavior

  • Familiarity with RAG architecture and vector similarity search using tools like FAISS, pgvector, or Pinecone

  • Familiarity with FastAPI, LangChain, or similar frameworks for GenAI orchestration



Desired




  • Expertise in integrating and orchestrating multiple backend APIs, including dynamic payload creation and conditional routing logic

  • Proficient in implementing OAuth2 with JWT for secure API authentication and service-to-service communication

  • Strong understanding of security best practices for sensitive data handling

  • Cloud & Deployment Skills

  • Experience with AWS services (Lambda, ECS, API Gateway, S3, Secrets Manager, Bedrock, SageMaker) or other cloud providers

  • Experience with OpenShift or Kubernetes for deploying and scaling containers

  • Familiar with CI/CD pipelines using GitHub Actions, Jenkins, or AWS CodePipeline

  • Knowledge of infrastructure-as-code using Terraform, Helm, or similar tools

  • Prior work with intelligent Gen AI assistants or in-app AI integration use cases

  • Experience building event-driven systems or real-time insights dashboards.




Required Skill Profession

Architecture And Engineering



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